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AlaskaX: Sport Analytics: Data Driven Decision Making

In sports, gut instincts are great but data analytics are necessary. Learn the fundamentals of how to use data, facts, and metrics to identify problems, make informed decisions and propose innovative solutions to guide strategic, real world business decisions in the sport industry and for sports teams.

Sport Analytics: Data Driven Decision Making
4 weeks
3–5 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

After a course session ends, it will be archivedOpens in a new tab.
Starts Feb 26

About this course

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Analytics have revolutionized sport, providing a competitive advantage to organizational decision-making both on and off the field. This course introduces best practices utilized by data analysts in sport business analytics. The course touches on sports data collection, fact finding, visualization, and metrics that guide strategic decision-making in the sport industry. This course will touch on many aspects of the sports industry, including professional sports. You do do not need a comprehensive background in data science, computer science/Python, or machine learning to complete this edX course.

Through the duration of this self-paced, online course, learners will:

  • Identify the concepts and characteristics of sports analytics in the sporting industry, historically and today.

  • Interpret aspects of analytics in the sporting industry (e.g., the impact of analytics in sport, player data points, athlete performance data tracking, organizational key performance indicators, etc.)

  • Comprehend and engage in critical thinking with analytic topics in the sporting industry.

  • Obtain a perspective of the growing trend and field of sport analytics.

  • Gain insight on the strategies, analytical techniques, and concepts used to evaluate players, team performance, and front-office strategies.

  • Discuss topics related to sport analytics

  • Utilize data analysis and statistical analysis techniques to identify problems and propose innovative solutions for improving performance both on the field and in sport management.

At a glance

  • Language: English
  • Video Transcript: English
  • Associated skills:Strategic Decision-Making, Business Analytics, Statistical Analysis, Sport Business, Data-Driven Decision-Making, Key Performance Indicators (KPIs), Data Analysis, Front Office, Analytical Techniques, Decision Making, Critical Thinking, Machine Learning, Python (Programming Language), Sports Analytics, Business Strategies, Data Science, Computer Science, Data Collection, Team Performance Management

What you'll learn

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  • Identify concepts in sport analytics.
  • Understand the benefits and objectives of sport analytics.
  • Discuss the impact of analytics on sport.
  • Demonstrate insight on the strategies and concepts of sport analytics.

WEEK 1: Introduction to Data in Sport

  • History of Sport Analytics

  • Sources of Data and Datasets

  • Statistical Techniques

  • Technology

  • Tools and Resources

WEEK 2: Analytics as a Game Changer

  • The Impact of Analytics on the Field of Play

  • New Metrics

  • Player Evaluations

  • Strategic Decision Making

WEEK 3: The Business of Sport Analytics

  • Customer Relationship Management

  • Ticketing

  • Fan Engagement

  • Data Visualization and Storytelling

WEEK 4: Evaluating Sport Sponsorships

  • Sponsorships in Sport

  • Strategies

  • Measuring Sponsorships

This course is part ofSport Business Management Professional Certificate Program

Learn more 
Expert instruction
3 skill-building courses
Self-paced
Progress at your own speed
3 months
3 - 5 hours per week

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